HIOK03568U Scientific programming (FULL)
Volume 2017/2018
Education
IT & Cognition
Content
There is no vacancies on the course. It is therefore not offered for post-registration.
The course introduces scientific programming with the Python programming language and addresses problem solving, organization and visualization of data, file organization and scripting, numerical computing, supervised learning, graphs, information retrieval, and neural networks.
See the curriculum: http://hum.ku.dk/uddannelser/aktuelle_studieordninger/it_cognition/it_cognition_msc.pdf
Learning Outcome
The student is able to:
- program with linear algebra
- implement routine procedures relevant to data managing
- create plots or related visualisations of data
- implement simple learning algorithms or related algorithms of importance to cognitive technologies
Teaching and learning methods
Lectures and exercise
classes.
Workload
- Category
- Hours
- Class Instruction
- 42
- Course Preparation
- 105
- Exam Preparation
- 59
- Total
- 206
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- OtherActive student participation consisting of 3-5 assignments
- Marking scale
- passed/not passed
Course information
- Language
- English
- Course code
- HIOK03568U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 semester
- Placement
- Autumn
- Schedule
- Skema uden for skemagruppe
- Course capacity
- 30
- Continuing and further education
- Study board
- Study Board of Department of Nordic Research
Contracting department
- Department of Nordic Research
Course Coordinators
- Costanza Navarretta (8-6874787966737f66456d7a7233707a336970)
Lecturers
Manex Agirrezabal
Saved on the
15-08-2017